Abstract #1907
Structural and functional evolution of temporal lobe epilepsy using linear regression modeling
Victoria L Morgan 1 , Alexander S. Dagley 1 , Hakmook Kang 2 , Bassel Abou-Khalil 3 , and Baxter P. Rogers 1
1
Vanderbilt University Institute of Imaging
Science, Vanderbilt University, Nashville, Tennessee,
United States,
2
Biostatistics,
Vanderbilt University, Tennessee, United States,
3
Neurology,
Vanderbilt University, Tennessee, United States
We used elastic net linear regression to identify
regional structural and functional parameters that
predict duration of temporal lobe epilepsy to quantify
the evolution of the disease. We found that the volume
of regions including the thalamus, putamen, entorhinal
cortex and the hippocampus decrease linearly as duration
increases. Functional connectivity between many regions
including the left hippocampus and the right insula,
left and right insula, and the right hippocampus and the
left thalamus also vary linearly as duration of disease
increases. The identification of this network can inform
decisions on surgical treatment and prediction of
surgical outcome.
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